The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team to bridge the gap between cutting-edge hardware and world-class open-source software. This is a high-impact role at the intersection of Hybrid Cloud and AI. You will lead the design and productization of next-generation AI solutions, focusing on the deep integration of our software stack with Nvidias hardware acceleration technologies.
This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers, product teams, Nvidia engineers, and lighthouse customers.
You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and cloud offering . This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development.
What You Will Do
Architect and lead the implementation of new features and joined solutions for AI & Cloud with Nvidia cutting edge technologies: GPU, DPU and more.
Explore deep code integration into various products, ensuring optimal integration between the portfolio, hardware accelerators and partners.
Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.
Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to our partners and customers.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.
Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

The Engineering team is looking for a Principal Software Engineer to join us in the Ra'anana office, focusing on the sovereign cloud project. In this role, you will design and build a high-scale, multi-tenant cloud platform that abstracts complex isolation, quota management, and jurisdictional compliance into a seamless experience-powering sovereign OpenShift-as-a-Service, VM-as-a-Service and Model-as-a-Service (AI) offerings. You'll play a specific part in defining the architecture for Kubernetes deployment infrastructure and in developing our offerings from inception, through upstream development, to delivery.
What you will do:
Play an active role in container and virtualization-related projects and communities like Kubernetes, OpenShift, and KubeVirt
Create and guide new feature development; contribute to open source projects in Golang, Python.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
Work with our Global Customer Support team and partner support teams on resolving customer issues
Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

The Virtualization team is seeking a Principal Software Engineer to help define and build the next generation of solutions for running Microsoft Windows as a guest operating system on OpenShift Virtualization. In this role, you will apply your in-depth knowledge of Windows operating systems and virtualization to contribute to a critical component of OpenShift. You will work within a collaborative, globally distributed team and have the opportunity to make a significant impact on our cloud-native and Kubernetes virtualization offerings.
What you will do
Architect, design, and implement features related to the Windows guest operating system experience within OpenShift Virtualization, focusing on performance, stability, and interoperability.
Serve as a primary resource for technical expertise on Windows guest issues, collaborating with upstream communities and other engineering teams.
Contribute to the full development life cycle, including requirement analysis, design, development, testing, and documentation.
Mentor junior team members and provide technical leadership on complex projects.
Engage with upstream communities like Kubernetes, KubeVirt, and QEMU to contribute and align our strategy.
Troubleshoot and resolve complex problems reported by customers and quality engineering teams.
Advocate for best practices in software development, including code quality, continuous integration, and automated testing.

We are looking for an excellent Software Developer to work on open-source cloud platforms such as Kubernetes. We are seeking an engineer who is deeply technical, hands-on, and has a wide system view. You will design, build and deploy high-performance and scalable clouds based on our superior ConnectX NICs and Bluefield DPUs. We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!
What youll be doing:
Design and implement new features to accelerate Network and Storage
Work closely with open source communities, participate in the relevant working groups
Work with different teams across
Mentor members of the team, enabling them to deliver high-quality software.

We are looking for a Lead DevOps Engineer to join our CSA Infrastructure group. In this role, you will take a technical leadership position, driving the design, scalability, security, and operational excellence of our cloud platforms, while mentoring engineers and shaping DevOps best practices across teams.
How will you make an impact?
Lead the design, evolution, and operation of large-scale cloud infrastructure on AWS and Azure, ensuring high availability, security, resilience, and cost efficiency
Drive Infrastructure as Code (IaC) strategy and quality, ensuring consistency, reusability, and maintainability across environments and development groups
Act as a technical authority for troubleshooting complex production issues and leading root-cause analysis
Collaborate closely with development, QA, security, and product teams to align infrastructure with business and product needs
Mentor and guide DevOps engineers, fostering a culture of ownership, learning, and continuous improvement
Lead initiatives around observability, monitoring, alerting, and incident response
Proactively identify risks, technical debt, and optimization opportunities
Evaluate, introduce, and scale new tools, technologies, and AI-driven automation to improve efficiency and reliability

we are looking for a Software Engineer Lead.
As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.

We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms.
If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems - we want to hear from you!
Responsibilities:
Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure).
Manage and evolve virtualization platforms such as VMware and KVM (Proxmox).
Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices.
Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization.
Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI.
Automate infrastructure provisioning, configuration, monitoring, and operational workflows.
Build and maintain internal tools to improve developer experience and engineering productivity.
Ensure system reliability, performance, and cost optimization across cloud and on-prem environments.
Maintain high security standards, compliance, and operational best practices.
Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments.
Develop and maintain clear technical documentation.

we are looking for a Lead Software Engineer.
As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

As a Graph Compiler Software Manager, you will lead the development of our companys next-generation graph compiler technology. This compiler is a cornerstone of our companys AI software offering, empowering customers to optimize, map, and execute complex neural networks across our company architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.